Panelwhiz supports more datasets

PanelWhiz now supports American CPS-MORG, American SIPP, and German
IAB-BP large-scale panel datasets in addition to German SOEP and Australian
HILDA datasets. PanelWhiz requires Stata/SE or Stata/MP 9.2 or later.

Replacing SOEP Menu, which dealt only with SOEP data, PanelWhiz can
expand to cover any panel dataset.

PanelWhiz adds a collection of commands that allow you, through a
menu in Stata, to directly select variables, observations, etc., and
automatically create data retrievals on your computer. Typically, panel
datasets contain information spanning many years and can include several
hundred data files. With PanelWhiz, when selecting a specific
variable, the variable for all possible years is selected and automatically
merged. Moreover, PanelWhiz allows you to change your rectangularized
data from wide (cross section) to long (panel) format.

PanelWhiz data projects can be saved, edited, changed, or merged, and
because they contain metadata and not microdata, they can be shared without
data security concerns. PanelWhiz projects can be automatically
updated as new panel data releases become available each year. In fact, many
data project files are already available for immediate use online. With
Internet access, you can automatically check whether new updates of
PanelWhiz are available and immediately download them.

Users of PanelWhiz sign a user contract and make a donation directly
to UNICEF in the amount per license per
year of at least US$20 in North America, £10 in Great Britain, A$20 in
Australia, and €20 for Eurozone countries (or its equivalent in all
other countries). For more information, documentation, capabilities, and
requirements concerning PanelWhiz, see the
PanelWhiz website or email the
author at john@panelwhiz.eu. Please
address all issues concerning obtaining microdata with the respective data
providers, as they are the only legal distributors of their data. No
proprietary microdata are ever distributed with PanelWhiz.

Users of panel data might also be interested in the companion website http://www.paneldata.eu, which lists all
known panel datasets.